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Usb 6356

Manufactured by National Instruments
Sourced in China, United States

The USB-6356 is a multifunction data acquisition (DAQ) device from National Instruments. It provides 16 analog input channels, 2 analog output channels, and 24 digital I/O lines. The device offers a maximum sample rate of 1.25 MS/s and a 16-bit resolution for analog inputs and outputs. The USB-6356 is designed for a variety of measurement and control applications.

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10 protocols using usb 6356

1

Custom Measurement System for Plant Tissues

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The same custom-built measurement system as used in [7 (link)] was used here (see Fig. 1b), based on a data acquisition card (DAQ, type USB-6356 from National instruments, controlled by custom made software written in NI LabVIEW version 2014). The transimpedance amplifiers in the reading channels convert the current into a voltage that can be read by the DAQ. The feedback resistors Rfb1 and Rfb2 determine the gain and have both a value of 56 kΩ for the measurements on the aloe vera leaf. Much higher currents were expected for the measurements on the apples (known from pilot studies) and a resistor with a resistance value of 0.56 kΩ was chosen as Rfb1 instead. For the measurements on the apple juice and aloe vera liquid the feedback resistances Rfb1 = 0.56 kΩ and Rfb2 = 5.6 kΩ were used. The capacitance Cfb = 4.7nF in addition to each transimpedance amplifier enables reduction of high frequency noise. Signal generation and reading were performed with 2000 samples per period.
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2

Resistive Pressure Sensor Calibration

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We used a thin and flexible resistive pressure sensor (1 lb, 9.5-mm diameter, A201, FlexiForce, Tekscan) for probe pressure measurement [Fig. 1(a)]. To calibrate the sensor for absolute pressure measurement, we used a series of custom built metal weights with a contact surface area equivalent to effective area of the pressure sensor (i.e., 0.71  cm2 ), as shown in Fig. 1(b). During calibration, the pressure sensor was sandwiched between metal weights to ensure exact overlap of the sensor area with the weights’ contact surface area [Fig. 1(c)]. The output voltage of the sensor (stabilized with a voltage follower circuit27 ) was recorded with a DAQ board (USB-6356, NI). Different weights (between 20 and 335 g) were employed to apply 21 pressures against the sensor, which ranged from 20.7 to 346.3 mmHg. Note three repetitions of the calibration measurement were made at each applied pressure, and the mean of the sensor’s output voltage across the three repetitions was computed. This mean output voltage from the sensor was plotted against the exact probe pressure exerted by the weights, and a linear best-fit line was computed [Fig. 1(d)]. This linear best-fit line was then used to convert voltage from the sensor to absolute probe pressure on tissue.
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3

Measuring FBSS Resistance with Synchronous Data

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The resistance of the FBSS was measured with a synchronous data acquisition card (National Instruments, USB-6356). The voltage, current, and transfer charges were measured using an electrometer (Tektronix Inc., Keithley 6514).
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4

Soft Pneumatic Strain Gauge Characterization

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The strain gauge was linked to the pneumatic circuit, which included a constant pneumatic resistor Rc (Teflon tube, inner diameter = 0.2 mm) and pressure sensors (015PDAA5, Honeywell, 15 PSI Differential 5 V) for measuring the supply pressure Psupply and pressure inside the pneumatic strain gauge Pgauge. The pressure sensor data were recorded with a data acquisition device (USB-6356, National Instruments). For tensile tests, the soft pneumatic strain gauge was clamped from its ends to a mechanical tester (TA.XT Plus, Stable Micro Systems, Fig. 1f). For the compression tests, the strain gauge was placed below the spherical probe (TA-18A, 3/4” diameter ball, Stable Micro Systems, Fig. 3e). The overall measurement setup in shown in Supplementary Fig. 12a.
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5

Spin Torque Switching Rate in MTJ

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The thermally activated switching rate of the free layer in the MTJ is monitored via RTN measurements at room temperature (T = 300 K). The experimental setup for the RTN measurements is shown in Fig. 2a. A low-level probe current (−25 μA) is applied to the MTJ and the voltage across the device is measured by a high-performance DAQ (National Instruments USB-6356) in order to monitor the MTJ resistance as a function of time. In these measurements, we apply a small in-plane magnetic field (3.7 mT) along the nanomagnet easy axis that compensates the stray field from the SAF layer acting onto the free layer and balances the dwell times of the free layer in the high-resistance (AP, 3350 Ω) and low-resistance (P, 1450 Ω) states. A microwave frequency ac voltage can be applied to the MTJ via the ac port of the bias tee. This voltage gives rise to an ac spin torque applied to the free layer by spin-polarized electric current from the SAF layer. The dwell times of the P state τP and the AP state τAP were found to remain balanced under the ac drive (τAP = τP = τ). The switching rate of the free layer nanomagnet is the inverse of the dwell time w ≡ 1/τ.
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6

Electrical Characterization of Mechanical Power Scavenging

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External excitation is provided by a signal generator (AFG3252C, Tektronix, Beaverton, OR, USA), a power amplifier unit (HEA-200C, Nanjing, China), and a vibration platform. An electrometer (Keithley 6514, Cleveland, OH, USA) and a data acquisition module (USB-6356, NI, Shanghai, China) were used to measure the electrical performance of the MPS.
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7

Whole-cell Patch-clamp of Outer Hair Cells

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Whole-cell patch-clamp recordings were achieved on first or second row outer hair cells (OHCs) from middle to apical cochlear turns using an Axon 200B amplifier (Molecular Devices, San Jose, CA, United States) with thick-walled borosilicate patch pipettes (2–6 MΩ) filled with an intracellular solution containing (in mM): 125 CsCl, 3.5 MgCl2, 5 ATP, 5 Creatine Phosphate, 10 HEPES, 1 Cesium BAPTA, 3 ascorbic acid, pH = 7.2, 280–290 mOsm. For 0.1 mM and 10 mM BAPTA internal solution, the BAPTA and CsCl concentrations were adjusted accordingly to reach 280–290 mOsm. Experiments were performed at 18–22°C. Whole-cell currents were filtered at 10 kHz and sampled at 0.05–1 MHz using USB-6356 (National Instruments, Austin, TX, United States) controlled by jClamp (SciSoft Company, Ridgefield, CT, United States). Voltages were corrected offline for liquid junction potentials. All experiments used a −84 mV holding potential unless otherwise noted.
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8

Amplified Signal Acquisition and Processing

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Amplified signals were digitised using a data acquisition (DAQ) device from National Instruments (USB-6356). Samples were acquired simultaneously at 20 kHz per channel with 16 bit resolution. A custom built LabVIEW programme (S2 File) was used to interface with the DAQ and acquire/log data which was saved in .tdms format for later processing.
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9

Multimodal Imaging and Doppler Acquisition

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The electrical signals from the two detectors are connected to an acquisition card (USB-6356, National Instruments) and are sampled at 120 kHz and Fourier analyzed. The direct current corresponding to the light intensity of a collected scattered light beam was removed by an analog filtering before the acquisition. During each of the 40 acquisitions of 100 ms, 45 ms are used to acquire one high-resolution image (rtx1), 30 ms for one pair of Doppler spectra (LDV) and the rest for the closed-loop AO. The trigger button of the rtx1 simultaneously starts recording the images on the rtx1 and the Doppler acquisition, which is controlled by a dedicated LabVIEW software based on a version developed for a laser Doppler flowmeter.34 (link)
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10

Bat Echolocation Reactions Monitoring

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Echolocation calls (input for the DSP), artificial echoes (output from the DSP), and the trigger signals were recorded with a PC in one file through a data acquisition system (National Instruments, USB-6356) at a sampling rate of 500 kHz. A high-speed camera (IDT Japan, Inc., MotionXtra NX8-S1) set on a camera tripod located 0.7 m away from the perch was used to monitor the physical reactions of the bats. Videos were recorded with 100 frames per second 0.5 s before and after the trigger. Because sounds and a trigger were recorded in the same file, acoustic data and video could be analyzed at the same time.
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